At a Glance
- Tasks: Enhance digital maps by verifying data and ensuring accuracy in a web-based environment.
- Company: Join TELUS Digital AI, a vibrant community of over 1 million contributors.
- Benefits: Flexible part-time work with opportunities for growth and skill development.
- Other info: Diverse and inclusive team committed to equal opportunities.
- Why this job: Make a real impact on AI models used by millions worldwide.
- Qualifications: No prior experience needed; just a passion for research and English proficiency.
A Day in the Life of an Online Data Analyst: In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide. Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information.
Join us today and be part of a dynamic and innovative team that is making a difference in the world!
TELUS Digital AI Community: Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands.
Qualification path: No previous professional experience is required to apply to this role; however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project and your work will be subject to our standard quality assurance checks during the term of this agreement.
Basic Requirements:
- Full Professional Proficiency in English language
- Being a resident in the United Kingdom for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in the United Kingdom
- Ability to follow guidelines and conduct online research using search engines, online maps, and website information
- Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance
- Daily access to a broadband internet connection, computer, and relevant software
Assessment: In order to be hired into the program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience.
All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.
Online Data Analyst - ENGLISH SPEAKER employer: TELUS Digital AI Data Solutions
At TELUS Digital AI, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to make a meaningful impact. As an Online Data Analyst, you will join a global community of over 1 million contributors, benefiting from flexible working arrangements and opportunities for personal growth while contributing to innovative projects that enhance digital mapping for millions worldwide. With a commitment to diversity and equal opportunity, we ensure that every team member feels valued and supported in their professional journey.
Contact Details:
TELUS Digital AI Data Solutions Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Online Data Analyst - ENGLISH SPEAKER
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We think you need these skills to ace Online Data Analyst - ENGLISH SPEAKER
Some tips for your application 🫡
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
